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Andreas B. Eisingerich
Researcher at Imperial College London
Publications - 89
Citations - 7674
Andreas B. Eisingerich is an academic researcher from Imperial College London. The author has contributed to research in topics: Customer retention & Customer advocacy. The author has an hindex of 29, co-authored 78 publications receiving 6280 citations. Previous affiliations of Andreas B. Eisingerich include University of Cambridge.
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Brand Attachment and Brand Attitude Strength: Conceptual and Empirical Differentiation of Two Critical Brand Equity Drivers
TL;DR: In this paper, a parsimonious measure of brand attachment was developed and validated, and the convergent and discriminant validity of this measure in relation to brand attitude strength was demonstrated.
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Brand attachment and brand attitude strength: Conceptual and empirical differentiation of two critical brand equity drivers.
TL;DR: In this article, a parsimonious measure of brand attachment was developed and validated from a measurement perspective, test the assumptions that underlie it, and demonstrate that it indicates the concept of attachment.
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Attachment–Aversion (AA) Model of Customer–Brand Relationships
TL;DR: In this article, a customer-brand relationship model is proposed and empirically tested, and the results offer strong support for the unique and important contribution of the AA relationships model as representing consumers' relationship valence with a brand and its salience.
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Attachment-aversion (AA) model of customer-brand relationships
TL;DR: In this paper, a customer-brand relationship model is proposed and empirically tested, and the results offer strong support for the unique and important contribution of the AA relationships model as representing consumers' relationship valence with a brand and its salience.
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How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty
TL;DR: It is suggested that high performing regional clusters are underpinned by network strength and network openness, but that the effects of these on the performance of a cluster as a whole are moderated by environmental uncertainty.